Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
Addressing the Challenges of AI in Healthcare
AI in healthcare faces challenges like data integration and scalability. Future agentic AIs must...
Sphenoid sinus hyperpneumatization: anatomical variants, molecular blueprints, and AI-augmented roadmaps for skull base surgery.
Sphenoid sinus hyperpneumatization impacts surgical safety; AI and advanced imaging enhance precision in skull...
AI Tool Accurately Differentiates Glioblastoma from Similar Brain Tumors During Surgery
AI tool PICTURE accurately differentiates glioblastoma from similar brain tumors during surgery, aiding timely...
Foreign body removal.
Airway foreign body aspiration poses risks, especially in children and seniors. Recent studies show...
Non-invasive assessment techniques for renal fibrosis: advances and perspectives.
Non-invasive renal fibrosis assessment: AI, biomarkers, and imaging techniques show promise for CKD diagnosis....
Emerging concepts in the diagnosis and management of metabolically associated steatotic liver disease.
Emerging strategies for diagnosing and managing MASLD: noninvasive methods, novel therapies, and personalized approaches....
Predicting Negative Self-Rated Oral Health in Adults Using Machine Learning: A Longitudinal Study in Southern Brazil.
Machine learning predicts negative self-rated oral health in adults with 16.6% prevalence. Key predictors...
Anston attentional network for structured data based stroke risk prediction in smart aging.
Anston model achieves 95% accuracy in predicting stroke risks for elderly care using structured...
AI in Adipose Imaging: Revolutionizing Visceral Adipose Tissue, Ectopic Fat, and Cardiovascular Risk Assessment.
AI Enhances Cardiovascular Risk Assessment via Visceral Fat Imaging 📊🤖